SimBioSys (http://www.simbiosys.com) is a technology company on a mission to deploy Computational Oncology to transform decision making and patient experience in Cancer Care. By virtualizing cancer, both clinicians and patients are empowered with a better understanding of the disease.
We are seeking an exceptionally talented Data Scientist (Oncology, Predictive Modeling) to integrate heterogenous multi-modal data and spatially resolved models of tumor biology to understand how patient features work together to confer drug sensitivity, resistance, and response. Above all, ideal candidates should be creative problem-solvers, with a willingness to try a range of approaches to tackle each new challenge.
The position will require you to design and drive projects in which you will work closely with team members. Simulating and analyzing individual patient tumors using SimBioSys' TumorScope platform will facilitate your identification and development of novel, putative, computational biomarkers of Breast Cancer outcomes, prognosis, treatment response, etc.
Fostering your analytical, biological, and computational skills, this position will provide you real world experience solving problems and developing putative biomarkers of Breast Cancer, while allowing you to contribute to the fight against cancer.
Required Qualifications
- 2-5 years full time employment in industry or postdoc experience building and validating predictive models on structured or unstructured data
- PhD in a life science/quantitative discipline (e.g. statistics, biology, genetics, machine learning/deep learning, bioinformatics, computational biology, biomedical informatics, or similar)
- Strong programming skills in Python and R, data science-related libraries (also w/ Linux OS experience)
- Experience with supervised and unsupervised machine learning algorithms used in genomics and clinical research; regression, mixed effect models, classification, survival modeling, clustering, dimension reduction, neural networks, decision trees, gradient boosting, etc
- Excellent written and verbal communication skills
- Ability to thrive in a fast-paced startup environment
- Both flexible team player & independent researcher mindsets required
Desired Qualifications
- Strong background knowledge and experience in the field of cancer biology
- DB engineering experience (SQL, noSQL)
- Software development experience
- Data visualization expertise (matplotlib, ggplot2)
- Strong peer-reviewed publication record
- Understanding of CAP/CLIA validation protocols and how to carry novel scientific discoveries to market